Mitigating Bias in Gender, Age and Ethnicity Classification: A Multi-Task Convolution Neural Network Approach

Cite

Text

Das et al. "Mitigating Bias in Gender, Age and Ethnicity Classification: A Multi-Task Convolution Neural Network Approach." European Conference on Computer Vision Workshops, 2018. doi:10.1007/978-3-030-11009-3_35

Markdown

[Das et al. "Mitigating Bias in Gender, Age and Ethnicity Classification: A Multi-Task Convolution Neural Network Approach." European Conference on Computer Vision Workshops, 2018.](https://mlanthology.org/eccvw/2018/das2018eccvw-mitigating/) doi:10.1007/978-3-030-11009-3_35

BibTeX

@inproceedings{das2018eccvw-mitigating,
  title     = {{Mitigating Bias in Gender, Age and Ethnicity Classification: A Multi-Task Convolution Neural Network Approach}},
  author    = {Das, Abhijit and Dantcheva, Antitza and Brémond, François},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2018},
  pages     = {573-585},
  doi       = {10.1007/978-3-030-11009-3_35},
  url       = {https://mlanthology.org/eccvw/2018/das2018eccvw-mitigating/}
}